IDEAS home Printed from https://ideas.repec.org/p/fip/fedhwp/wp-2012-02.html
   My bibliography  Save this paper

The Chicago Fed DSGE model

Author

Listed:
  • Scott Brave
  • Jeffrey R. Campbell
  • Jonas D. M. Fisher
  • Alejandro Justiniano

Abstract

The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the Federal Reserve Bank of Chicago. This article describes its specification and estimation, its dynamic characteristics and how it is used to forecast the US economy. In many respects the model resembles other medium scale New Keynesian frameworks, but there are several features which distinguish it: the monetary policy rule includes forward guidance, productivity is driven by neutral and investment specific technical change, multiple price indices identify inflation and there is a financial accelerator mechanism.

Suggested Citation

  • Scott Brave & Jeffrey R. Campbell & Jonas D. M. Fisher & Alejandro Justiniano, 2012. "The Chicago Fed DSGE model," Working Paper Series WP-2012-02, Federal Reserve Bank of Chicago.
    • Handle: RePEc:fip:fedhwp:wp-2012-02
    as

    Download full text from publisher

    File URL: http://chicagofed.org/digital_assets/publications/working_papers/2012/wp2012_02.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    2. Marc P. Giannoni & Jean Boivin, 2005. "DSGE Models in a Data-Rich Environment," Computing in Economics and Finance 2005 431, Society for Computational Economics.
    3. Andrea Tambalotti & Andrea Ferrero & Vasco Curdia, 2010. "Evaluating Interest Rate Rules in an Estimated DSGE Model," 2010 Meeting Papers 402, Society for Economic Dynamics.
    4. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arias, Jonas E. & Erceg, Christopher & Trabandt, Mathias, 2016. "The macroeconomic risks of undesirably low inflation," European Economic Review, Elsevier, vol. 88(C), pages 88-107.
    2. Linde, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks' Macro Models," CEPR Discussion Papers 11405, C.E.P.R. Discussion Papers.
    3. Nadav Ben Zeev & Christopher Gunn & Hashmat Khan, 2020. "Monetary News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(7), pages 1793-1820, October.
    4. Giorgio Motta & Patrizio Tirelli, 2013. "Limited Asset Market Participation, Income Inequality and Macroeconomic Volatility," Working Papers 261, University of Milano-Bicocca, Department of Economics, revised Dec 2013.
    5. House, Christopher L. & Proebsting, Christian & Tesar, Linda L., 2020. "Austerity in the aftermath of the great recession," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 37-63.
    6. Mitsuru Katagiri, 2016. "Forward Guidance as a Monetary Policy Rule," Bank of Japan Working Paper Series 16-E-6, Bank of Japan.
    7. Jeffrey R. Campbell & Charles L. Evans & Jonas D.M. Fisher & Alejandro Justiniano, 2012. "Macroeconomic Effects of Federal Reserve Forward Guidance," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 1-80.
    8. Joshua Brault & Hashmat Khan, 2019. "The Real Interest Rate Channel is Structural in Contemporary New-Keynesian Models," Carleton Economic Papers 19-05, Carleton University, Department of Economics.
    9. Hess Chung & Edward Herbst & Michael T. Kiley, 2015. "Effective Monetary Policy Strategies in New Keynesian Models: A Reexamination," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 289-344.
    10. Jesper Lindé, 2018. "DSGE models: still useful in policy analysis?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 269-286.
    11. Sacha Gelfer, 2019. "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 18-41, April.
    12. Wieland, Volker & Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge, 2017. "Model Uncertainty in Macroeconomics: On the Implications of Financial Frictions," CEPR Discussion Papers 12013, C.E.P.R. Discussion Papers.
    13. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
    14. Francesco Sergi, 2020. "The Standard Narrative about DSGE Models in Central Banks’ Technical Reports," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(2), pages 163-193, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christian Bayer & Benjamin Born & Ralph Luetticke, 2024. "Shocks, Frictions, and Inequality in US Business Cycles," American Economic Review, American Economic Association, vol. 114(5), pages 1211-1247, May.
    2. Miyamoto, Wataru & Nguyen, Thuy Lan, 2020. "The expectational effects of news in business cycles: Evidence from forecast data," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 184-200.
    3. Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What's Up with the Phillips Curve?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 301-373.
    4. Munechika Katayama & Kwang Hwan Kim, 2018. "Intersectoral Labor Immobility, Sectoral Comovement, and News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 77-114, February.
    5. Jean Boivin & Marc P. Giannoni & Dalibor Stevanović, 2020. "Dynamic Effects of Credit Shocks in a Data-Rich Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 272-284, April.
    6. Furlanetto, Francesco & Seneca, Martin, 2014. "New Perspectives On Depreciation Shocks As A Source Of Business Cycle Fluctuations," Macroeconomic Dynamics, Cambridge University Press, vol. 18(6), pages 1209-1233, September.
    7. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    8. Offick, Sven & Winkler, Roland C., 2019. "Endogenous Firm Entry In An Estimated Model Of The U.S. Business Cycle," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 284-321, January.
    9. Christoph Gortz & John D. Tsoukalas, 2013. "Learning, Capital Embodied Technology and Aggregate Fluctuations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(4), pages 708-723, October.
    10. Laureys, Lien & Meeks, Roland & Wanengkirtyo, Boromeus, 2021. "Optimal simple objectives for monetary policy when banks matter," European Economic Review, Elsevier, vol. 135(C).
    11. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2015. "Household leveraging and deleveraging," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(1), pages 3-20, January.
    12. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    13. Guido Ascari & Louis Phaneuf & Eric Sims, 2020. "Can New Keynesian Models Survive the Barro-King Curse?," Working Papers 20-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    14. Christoph Gortz & Konstantinos Theodoridis & Christoph Thoenissen, 2023. "The Anatomy of Small Open Economy Productivity Trends," Discussion Papers 23-05, Department of Economics, University of Birmingham.
    15. Rahul Nath, 2018. "Equity Pricing New Keynesian Models with Nominal Rigidities and Investment," Economics Series Working Papers 850, University of Oxford, Department of Economics.
    16. Ben Zeev, Nadav, 2018. "What can we learn about news shocks from the late 1990s and early 2000s boom-bust period?," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 94-105.
    17. Samaniego, Roberto M. & Sun, Juliana Y., 2015. "Technology and contractions: evidence from manufacturing," European Economic Review, Elsevier, vol. 79(C), pages 172-195.
    18. Markus Kirchner & Rodrigo Tranamil, 2016. "Calvo Wages Vs. Search Frictions: a Horse Race in a DSGE Model of a Small Open Economy," Working Papers Central Bank of Chile 778, Central Bank of Chile.
    19. Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
    20. Eusepi, Stefano & Preston, Bruce, 2015. "Consumption heterogeneity, employment dynamics and macroeconomic co-movement," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 13-32.

    More about this item

    Keywords

    Keynesian economics; Forecasting; Stochastic analysis;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedhwp:wp-2012-02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lauren Wiese (email available below). General contact details of provider: https://edirc.repec.org/data/frbchus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.